首页 | 本学科首页   官方微博 | 高级检索  
文章检索
  按 检索   检索词:      
出版年份:   被引次数:   他引次数: 提示:输入*表示无穷大
  收费全文   5篇
  免费   0篇
教育   1篇
科学研究   3篇
体育   1篇
  2013年   1篇
  2009年   1篇
  2008年   1篇
  2004年   1篇
  1974年   1篇
排序方式: 共有5条查询结果,搜索用时 0 毫秒
1
1.
2.
Conclusion Notwithstanding the weaknesses noted in theory and practice, tangible results have been achieved in Yugoslavia in the domain and policy of permanent education. Many obstacles stood in the way of this progress and resistance was encountered on various sides to the introduction of lifelong education. This resistance was overcome by the adoption of the Resolution on the Development of Education on an Autonomous Basis which is deeply permeated by the ideas of lifelong education, thus opening broad avenues for its development in Yugoslavia.  相似文献   
3.
Centroid-based summarization of multiple documents   总被引:2,自引:0,他引:2  
We present a multi-document summarizer, MEAD, which generates summaries using cluster centroids produced by a topic detection and tracking system. We describe two new techniques, a centroid-based summarizer, and an evaluation scheme based on sentence utility and subsumption. We have applied this evaluation to both single and multiple document summaries. Finally, we describe two user studies that test our models of multi-document summarization.  相似文献   
4.
We present Biased LexRank, a method for semi-supervised passage retrieval in the context of question answering. We represent a text as a graph of passages linked based on their pairwise lexical similarity. We use traditional passage retrieval techniques to identify passages that are likely to be relevant to a user’s natural language question. We then perform a random walk on the lexical similarity graph in order to recursively retrieve additional passages that are similar to other relevant passages. We present results on several benchmarks that show the applicability of our work to question answering and topic-focused text summarization.  相似文献   
5.
Access to information via handheld devices supports decision making away from one’s computer. However, limitations include small screens and constrained wireless bandwidth. We present a summarization method that transforms online content for delivery to small devices. Unlike previous algorithms, ours assumes nothing about document formatting, and induces a hierarchical structure based on the relative importance of sentences within the document. As compared to delivering full documents, the method reduces the bytes transferred by half. An experiment also demonstrates that when given hierarchical summaries, users are no less accurate in answering questions about the documents.  相似文献   
1
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号